Facebook Accelerates AI Development with new Partners and Production Capabilities for PyTorch 1.0


This post introduces the PyTorch 1.0 prerelease. The latest additions to the framework include a new hybrid front end that enables tracing and scripting models from eager mode into graph mode for bridging the gap between exploration and production deployment, a revamped torch.distributed library that allows for faster training across Python and C++ environments, and an eager mode C++ interface (released in beta) for performance-critical research.


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